package com.hkbigdata.transfrom;

import com.hkbigdata.entry.WaterSensor;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

import java.util.Arrays;
import java.util.List;

/**
 * @author liuanbo
 * @creat 2023-04-19-19:08
 * @see 2194550857@qq.com
 */
public class Flink08_TransFrom_aggregate {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

/*        DataStreamSource<Integer> integerDataStreamSource = env
                .fromElements(10, 3, 5, 9, 20, 8);


        KeyedStream<Integer, String> integerStringKeyedStream =
                integerDataStreamSource.keyBy(data -> data % 2 == 0 ? "偶数" : "奇数");

        integerStringKeyedStream.sum(0).print("sum");
        integerStringKeyedStream.max(0).print("max");
        integerStringKeyedStream.min(0).print("min");*/

        List<WaterSensor> waterSensors = Arrays.asList(
                new WaterSensor("ws_001", 1607527992000L, 20),
                new WaterSensor("ws_001", 1607527992001L, 22),
                new WaterSensor("ws_001", 1607527992002L, 33),
                new WaterSensor("ws_002", 1607527992003L, 44),
                new WaterSensor("ws_002", 1607527992004L, 22),
                new WaterSensor("ws_002", 1607527992001L, 50)
        );

        env.fromCollection(waterSensors)
                .keyBy(data->data.getId())
                .maxBy("vc",true).print();


        env.execute();




    }
}
